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cs.AI2026

IneqAgent: Agentic Inequality Proving in Lean with Symbolic Computation

Gaolei He, Jinhui Li, Ruobing Zuo +2

Formal inequality proving requires mathematical reasoning and exact computation, often connected through intermediate lemmas and goal reformulations. We introduce IneqAgent, an age…

cs.SC2026

A Proof of the Dittert Conjecture in Dimension 4 via an Exact Constrained Sum-of-Squares Certificate

Jinhui Li, Beibei Xiong, Zhengfeng Yang

The Dittert conjecture states that the Dittert functional on nonnegative matrices whose entries sum to is uniquely maximized by the uniform matrix. We prove the con…

cs.LG2026

Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction

Jiafu Huang, Chao Peng, Chenyang Xu +7

Neural algorithmic reasoning has emerged as a popular research direction. It aims to train neural networks to mimic the step-by-step behavior of classical rule-based algorithms. Mo…

cs.AI2026

From LLM-Generated Conjectures to Lean Formalizations: Automated Polynomial Inequality Proving via Sum-of-Squares Certificates

Ruobing Zuo, Hanrui Zhao, Gaolei He +2

Automated proving of polynomial inequalities is a fundamental challenge in automated mathematical reasoning, where rich algebraic structure and a rapidly growing certificate search…

cs.LG2026

Automated Formal Proofs of Combinatorial Identities via Wilf-Zeilberger Guidance and LLMs

Beibei Xiong, Hangyu Lv, Junqi Liu +5

Automating formal proofs of combinatorial identities is challenging for LLM-based provers, as long-horizon proof planning is required and unconstrained search quickly explodes. Sym…